0089 (0089) Fair Value & Analysis
Industrials · MY · Market cap 279M MYR
Fair value as of: Jun 24, 2026
Analysis
0089 (0089) currently trades at 1.04 MYR, while our model-based Fair Value estimate is 1.39 MYR — implying the stock looks roughly 33.7% undervalued today. We read business quality at 95/100 (high quality), in the Industrials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
Tex Cycle Technology (M) Berhad, an investment holding company, engages in the recovery and recycling of scheduled waste in Malaysia. It operates through Investment Holding, Recovery and Recycling Services, Rental of Investment Property, Trading, Renewable Energy, and Others segments. The company manufactures and trade chemical products; rents investment properties; and recycled products. It also engages in the development of renewable energy power plants; procurement and processing of biomass and biogas solid fuel for renewable energy generation and trading, as well as export of the by-products obtained from the process; and provision of equipment and consultancy services related to renewable energy. In addition, the company provides professional services for the electronics, engineering, automobile, oil and gas, and printing industries and chemical products for oil and gas, agricultural, and chemical industries. Further, it engages in the treatment and disposal of non-hazardous wa…
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Frequently asked questions
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.